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Items: 1 to 20 of 31

1.

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan.

Pomponio R, Erus G, Habes M, Doshi J, Srinivasan D, Mamourian E, Bashyam V, Nasrallah IM, Satterthwaite TD, Fan Y, Launer LJ, Masters CL, Maruff P, Zhuo C, Völzke H, Johnson SC, Fripp J, Koutsouleris N, Wolf DH, Gur R, Gur R, Morris J, Albert MS, Grabe HJ, Resnick SM, Bryan RN, Wolk DA, Shinohara RT, Shou H, Davatzikos C.

Neuroimage. 2019 Dec 7:116450. doi: 10.1016/j.neuroimage.2019.116450. [Epub ahead of print]

PMID:
31821869
2.

Estimating regional cerebral blood flow using resting-state functional MRI via machine learning.

Chand GB, Habes M, Dolui S, Detre JA, Wolk DA, Davatzikos C.

J Neurosci Methods. 2019 Nov 19;331:108528. doi: 10.1016/j.jneumeth.2019.108528. [Epub ahead of print]

PMID:
31756399
3.

A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data.

Li H, Habes M, Wolk DA, Fan Y; Alzheimer's Disease Neuroimaging Initiative and the Australian Imaging Biomarkers and Lifestyle Study of Aging.

Alzheimers Dement. 2019 Aug;15(8):1059-1070. doi: 10.1016/j.jalz.2019.02.007. Epub 2019 Jun 11.

PMID:
31201098
4.

APOE Effect on Amyloid-β PET Spatial Distribution, Deposition Rate, and Cut-Points.

Toledo JB, Habes M, Sotiras A, Bjerke M, Fan Y, Weiner MW, Shaw LM, Davatzikos C, Trojanowski JQ; Alzheimer’s Disease Neuroimaging Initiative.

J Alzheimers Dis. 2019;69(3):783-793. doi: 10.3233/JAD-181282.

PMID:
31127775
5.

Precision diagnostics based on machine learning-derived imaging signatures.

Davatzikos C, Sotiras A, Fan Y, Habes M, Erus G, Rathore S, Bakas S, Chitalia R, Gastounioti A, Kontos D.

Magn Reson Imaging. 2019 Dec;64:49-61. doi: 10.1016/j.mri.2019.04.012. Epub 2019 May 6.

PMID:
31071473
6.

Full exploitation of high dimensionality in brain imaging: The JPND working group statement and findings.

Adams HHH, Roshchupkin GV, DeCarli C, Franke B, Grabe HJ, Habes M, Jahanshad N, Medland SE, Niessen W, Satizabal CL, Schmidt R, Seshadri S, Teumer A, Thompson PM, Vernooij MW, Wittfeld K, Ikram MA.

Alzheimers Dement (Amst). 2019 Mar 30;11:286-290. doi: 10.1016/j.dadm.2019.02.003. eCollection 2019 Dec.

7.

Inflammatory markers and imaging patterns of advanced brain aging in the general population.

Janowitz D, Habes M, Toledo JB, Hannemann A, Frenzel S, Terock J, Davatzikos C, Hoffmann W, Grabe HJ.

Brain Imaging Behav. 2019 Mar 1. doi: 10.1007/s11682-019-00058-y. [Epub ahead of print]

PMID:
30820858
8.

Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting.

Chauhan G, Adams HHH, Satizabal CL, Bis JC, Teumer A, Sargurupremraj M, Hofer E, Trompet S, Hilal S, Smith AV, Jian X, Malik R, Traylor M, Pulit SL, Amouyel P, Mazoyer B, Zhu YC, Kaffashian S, Schilling S, Beecham GW, Montine TJ, Schellenberg GD, Kjartansson O, Guðnason V, Knopman DS, Griswold ME, Windham BG, Gottesman RF, Mosley TH, Schmidt R, Saba Y, Schmidt H, Takeuchi F, Yamaguchi S, Nabika T, Kato N, Rajan KB, Aggarwal NT, De Jager PL, Evans DA, Psaty BM, Rotter JI, Rice K, Lopez OL, Liao J, Chen C, Cheng CY, Wong TY, Ikram MK, van der Lee SJ, Amin N, Chouraki V, DeStefano AL, Aparicio HJ, Romero JR, Maillard P, DeCarli C, Wardlaw JM, Hernández MDCV, Luciano M, Liewald D, Deary IJ, Starr JM, Bastin ME, Muñoz Maniega S, Slagboom PE, Beekman M, Deelen J, Uh HW, Lemmens R, Brodaty H, Wright MJ, Ames D, Boncoraglio GB, Hopewell JC, Beecham AH, Blanton SH, Wright CB, Sacco RL, Wen W, Thalamuthu A, Armstrong NJ, Chong E, Schofield PR, Kwok JB, van der Grond J, Stott DJ, Ford I, Jukema JW, Vernooij MW, Hofman A, Uitterlinden AG, van der Lugt A, Wittfeld K, Grabe HJ, Hosten N, von Sarnowski B, Völker U, Levi C, Jimenez-Conde J, Sharma P, Sudlow CLM, Rosand J, Woo D, Cole JW, Meschia JF, Slowik A, Thijs V, Lindgren A, Melander O, Grewal RP, Rundek T, Rexrode K, Rothwell PM, Arnett DK, Jern C, Johnson JA, Benavente OR, Wasssertheil-Smoller S, Lee JM, Wong Q, Mitchell BD, Rich SS, McArdle PF, Geerlings MI, van der Graaf Y, de Bakker PIW, Asselbergs FW, Srikanth V, Thomson R, McWhirter R, Moran C, Callisaya M, Phan T, Rutten-Jacobs LCA, Bevan S, Tzourio C, Mather KA, Sachdev PS, van Duijn CM, Worrall BB, Dichgans M, Kittner SJ, Markus HS, Ikram MA, Fornage M, Launer LJ, Seshadri S, Longstreth WT Jr, Debette S; Stroke Genetics Network (SiGN), the International Stroke Genetics Consortium (ISGC), METASTROKE, Alzheimer's Disease Genetics Consortium (ADGC), and the Neurology Working Group of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.

Neurology. 2019 Jan 16. pii: 10.1212/WNL.0000000000006851. doi: 10.1212/WNL.0000000000006851. [Epub ahead of print]

9.

Influence of Age and Tooth Loss on Masticatory Muscles Characteristics: A Population Based MR Imaging Study.

Daboul A, Schwahn C, Bülow R, Kiliaridis S, Kocher T, Klinke T, Mundt T, Mourad S, Völzke H, Habes M, Biffar R.

J Nutr Health Aging. 2018;22(7):829-836. doi: 10.1007/s12603-018-1029-1.

PMID:
30080228
10.

Heterogeneity of structural and functional imaging patterns of advanced brain aging revealed via machine learning methods.

Eavani H, Habes M, Satterthwaite TD, An Y, Hsieh MK, Honnorat N, Erus G, Doshi J, Ferrucci L, Beason-Held LL, Resnick SM, Davatzikos C.

Neurobiol Aging. 2018 Nov;71:41-50. doi: 10.1016/j.neurobiolaging.2018.06.013. Epub 2018 Jun 15.

11.

White matter lesions: Spatial heterogeneity, links to risk factors, cognition, genetics, and atrophy.

Habes M, Sotiras A, Erus G, Toledo JB, Janowitz D, Wolk DA, Shou H, Bryan NR, Doshi J, Völzke H, Schminke U, Hoffmann W, Resnick SM, Grabe HJ, Davatzikos C.

Neurology. 2018 Sep 4;91(10):e964-e975. doi: 10.1212/WNL.0000000000006116. Epub 2018 Aug 3.

12.

Enlarged perivascular spaces and cognition: A meta-analysis of 5 population-based studies.

Hilal S, Tan CS, Adams HHH, Habes M, Mok V, Venketasubramanian N, Hofer E, Ikram MK, Abrigo J, Vernooij MW, Chen C, Hosten N, Volzke H, Grabe HJ, Schmidt R, Ikram MA.

Neurology. 2018 Aug 28;91(9):e832-e842. doi: 10.1212/WNL.0000000000006079. Epub 2018 Aug 1. Review.

13.

Exome Chip Analysis Identifies Low-Frequency and Rare Variants in MRPL38 for White Matter Hyperintensities on Brain Magnetic Resonance Imaging.

Jian X, Satizabal CL, Smith AV, Wittfeld K, Bis JC, Smith JA, Hsu FC, Nho K, Hofer E, Hagenaars SP, Nyquist PA, Mishra A, Adams HHH, Li S, Teumer A, Zhao W, Freedman BI, Saba Y, Yanek LR, Chauhan G, van Buchem MA, Cushman M, Royle NA, Bryan RN, Niessen WJ, Windham BG, DeStefano AL, Habes M, Heckbert SR, Palmer ND, Lewis CE, Eiriksdottir G, Maillard P, Mathias RA, Homuth G, Valdés-Hernández MDC, Divers J, Beiser AS, Langner S, Rice KM, Bastin ME, Yang Q, Maldjian JA, Starr JM, Sidney S, Risacher SL, Uitterlinden AG, Gudnason VG, Nauck M, Rotter JI, Schreiner PJ, Boerwinkle E, van Duijn CM, Mazoyer B, von Sarnowski B, Gottesman RF, Levy D, Sigurdsson S, Vernooij MW, Turner ST, Schmidt R, Wardlaw JM, Psaty BM, Mosley TH, DeCarli CS, Saykin AJ, Bowden DW, Becker DM, Deary IJ, Schmidt H, Kardia SLR, Ikram MA, Debette S, Grabe HJ, Longstreth WT Jr, Seshadri S, Launer LJ, Fornage M; neuroCHARGE Working Group.

Stroke. 2018 Aug;49(8):1812-1819. doi: 10.1161/STROKEAHA.118.020689.

14.

Regional tract-specific white matter hyperintensities are associated with patterns to aging-related brain atrophy via vascular risk factors, but also independently.

Habes M, Erus G, Toledo JB, Bryan N, Janowitz D, Doshi J, Völzke H, Schminke U, Hoffmann W, Grabe HJ, Wolk DA, Davatzikos C.

Alzheimers Dement (Amst). 2018 Mar 5;10:278-284. doi: 10.1016/j.dadm.2018.02.002. eCollection 2018.

15.

Microglia ablation alleviates myelin-associated catatonic signs in mice.

Janova H, Arinrad S, Balmuth E, Mitjans M, Hertel J, Habes M, Bittner RA, Pan H, Goebbels S, Begemann M, Gerwig UC, Langner S, Werner HB, Kittel-Schneider S, Homuth G, Davatzikos C, Völzke H, West BL, Reif A, Grabe HJ, Boretius S, Ehrenreich H, Nave KA.

J Clin Invest. 2018 Feb 1;128(2):734-745. doi: 10.1172/JCI97032. Epub 2017 Dec 18.

16.

Association between serum neuron-specific enolase, age, overweight, and structural MRI patterns in 901 subjects.

Hoffmann J, Janowitz D, Van der Auwera S, Wittfeld K, Nauck M, Friedrich N, Habes M, Davatzikos C, Terock J, Bahls M, Goltz A, Kuhla A, Völzke H, Jörgen Grabe H.

Transl Psychiatry. 2017 Dec 8;7(12):1272. doi: 10.1038/s41398-017-0035-0.

17.

Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images.

Guo S, Lai C, Wu C, Cen G; Alzheimer's Disease Neuroimaging Initiative.

Front Aging Neurosci. 2017 May 18;9:146. doi: 10.3389/fnagi.2017.00146. eCollection 2017. Erratum in: Front Aging Neurosci. 2017 Sep 05;9:293.

18.

A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages.

Rathore S, Habes M, Iftikhar MA, Shacklett A, Davatzikos C.

Neuroimage. 2017 Jul 15;155:530-548. doi: 10.1016/j.neuroimage.2017.03.057. Epub 2017 Apr 13. Review.

19.

Estimating effects of craniofacial morphology on gingival recession and clinical attachment loss.

Salti L, Holtfreter B, Pink C, Habes M, Biffar R, Kiliaridis S, Krey KF, Bülow R, Völzke H, Kocher T, Daboul A.

J Clin Periodontol. 2017 Apr;44(4):363-371. doi: 10.1111/jcpe.12661. Epub 2017 Feb 18.

PMID:
27930822
20.

A priori collaboration in population imaging: The Uniform Neuro-Imaging of Virchow-Robin Spaces Enlargement consortium.

Adams HH, Hilal S, Schwingenschuh P, Wittfeld K, van der Lee SJ, DeCarli C, Vernooij MW, Katschnig-Winter P, Habes M, Chen C, Seshadri S, van Duijn CM, Ikram MK, Grabe HJ, Schmidt R, Ikram MA.

Alzheimers Dement (Amst). 2015 Oct 31;1(4):513-20. doi: 10.1016/j.dadm.2015.10.004. eCollection 2015 Dec.

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